KAFKA INTEGRATION AND STREAM PROCESSING

Take Apache Kafka to the Next Level

Apache Kafka has seen increasing adoption among enterprises of all sizes as a high-performance, fault-tolerant messaging system. To get the most value from your Kafka solutions you need to ingest data into Kafka, prepare it for different consumers, and distribute to a broad range of systems on-premises and in the cloud. Also, many Kafka users choose to analyze and visualize the data flowing through Kafka to gain timely intelligence. The Striim platform enables you to integrate, process, analyze, visualize, and deliver high-volumes of streaming data for your Kafka environments with an intuitive UI and SQL-based language for easy and fast development.

Striim provides the key pieces of in-memory technology to enable enterprise-grade Kafka solutions with end-to-end security, recoverability, reliability (including exactly once processing), and scalability. Striim also ships with Kafka built-in so you can harness its capabilities without having to rely on coding.

EXPAND KAFKA'S REACH

Ingest streaming data from any relevant source, and deliver where needed on-premises or in the cloud

Gain real-time intelligence with alerts, and visualize data in Kafka without needing another product

Customer Use Case

LEADING CREDIT CARD NETWORK

To build a real-time security event hub supporting its cyber security analytics efforts, the leading credit card network decided to use Striim with Apache Kafka. Striim collects, prepares, and correlates all types of security data, and distributes to various targets. While publishing pre-processed events to the Kafka-based enterprise bus in JSON format, the Striim platform tracks and records key metrics about all the events collected, and performs analytics and file management where needed.

Striim also displays card management events coming from the website via real-time dashboards, and allows to run machine learning algorithms on this streaming data for improved customer experience.